2013Unpublished venueRequires access

Study on application of channel estimation algorithms in OFDM underwater acoustic communication

Chang Qingwen

Open publisher page 0 citations

Abstract

The precision and validity of channel estimation are the assurance of OFDM(Orthogonal Frequency Division Multiplexing)underwater acoustic communication system with good performance. LS-MP(Least Square, Matching Pursuit)channel estimation algorithm based on Compressive Sensing(CS)is studied using the sparsity of the underwater acoustic channel, after the research of the LS and LMMSE(Linear Minimum Mean Square Error)channel estimation algorithm. And the simulink with LS, LMMSE and LS-MP baed on CS in OFDM underwater communication system is done respectively. The performance of these algorithms is analyzed and compared.

About this research paper

What this paper is about

The precision and validity of channel estimation are the assurance of OFDM(Orthogonal Frequency Division Multiplexing)underwater acoustic communication system with good performance. LS-MP(Least Square, Matching Pursuit)channel estimation algorithm based on Compressive Sensing(CS)is studied using the sparsity of the underwater acoustic channel, after the research of the LS and LMMSE(Linear Minimum Mean Square Error)channel estimation algorithm. And the simulink with LS, LMMSE and LS-MP baed on CS in OFDM underwater communication system is done respectively. The performance of these algorithms is analyzed and compared.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The precision and validity of channel estimation are the assurance of OFDM(Orthogonal Frequency Division Multiplexing)underwater acoustic communication system with good performance. LS-MP(Least Square, Matching Pursuit)channel estimation algorithm based on Compressive Sensing(CS)is studied using the sparsity of the underwater acoustic channel, after the research of the LS and LMMSE(Linear Minimum Mean Square Error)channel estimation algorithm. And the simulink with LS, LMMSE and LS-MP baed on CS in OFDM underwater communication system is done respectively. The performance of these algorithms is analyzed and compared.

Key concepts: Orthogonal frequency-division multiplexing, Channel (broadcasting), Underwater acoustic communication, Underwater, Algorithm, Computer science, Minimum mean square error, Matching pursuit

Related papers

Back to paper searchBrowse research topicsOriginal source
Study on application of channel estimation algorithms in OFDM underwater acoustic communication — Research Paper | ScholarLens